Traffic Data Reconciliation via Multi-Source Mediation
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Solution Overview
Problem
Existing navigation services face inefficiencies in collecting and providing accurate and timely traffic data, leading to delayed information on road hazards and traffic conditions, which can hinder users' ability to avoid them.
Innovation Solution
An automated traffic data brokering system that collects, reconciles, and provides reliable traffic data from multiple sources, using machine learning and APIs to determine accurate routes and predict traffic conditions, acting as a trusted intermediary between data sources and consumers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each navigation service collects its own traffic data independently, then the service has control over its data quality, but the time to collect enough information to confidently identify traffic conditions increases
Solution Approach 1:
The patent combines traffic data from multiple independent navigation services into a centralized reconciliation system. This merging allows the system to aggregate sufficient data much faster than any single service could collect independently, while maintaining high confidence through cross-validation of multiple sources.
Solution Approach 2:
The patent introduces a traffic data reconciliation service as an intermediary between multiple data sources and consumers. This mediator collects, reconciles, and validates traffic data from various navigation services, enabling faster and more reliable traffic condition identification without requiring individual services to independently gather sufficient data.
2Reliability
If each navigation service collects its own traffic data, then the service maintains data independence, but the completeness and accuracy of traffic data is reduced
Solution Approach 1:
The reconciliation service acts as an intermediary layer that maintains data independence for individual navigation services while providing aggregated, validated traffic data to consumers. This mediator handles the complexity of data reconciliation, allowing source services to remain simple while delivering high-quality data.
Solution Approach 2:
The system implements feedback mechanisms where the reconciliation service validates and cross-checks traffic data from multiple sources, using consistency checks and confidence scoring to ensure accuracy. This feedback loop maintains high data quality without requiring complex changes to individual data collection systems.
3Reliability
If a centralized traffic data system is implemented, then data completeness and accuracy improve, but the system complexity increases
Solution Approach 1:
The patent segments the traffic data system into distinct functional components: data collection from multiple sources, data reconciliation and validation, confidence scoring, and data distribution to consumers. This segmentation manages complexity by separating concerns while maintaining centralized coordination for complete and accurate data.
Data Source
AI summary
Traffic data reconciliation and brokering are provided. A traffic data brokering system ingests traffic-related data provided from a plurality of data sources, analyzes the data, and reconciles the data for identifying accurate, up-to-date, and comprehensive traffic data. The system identifies current traffic conditions based on identified relationships between pieces of received data, calculates confidence scores, and determines which pieces of data are accurate based on the calculated confidence scores. The traffic data brokering system provides the reconciled traffic data to various users of traffic data, such as individuals or third-party services. One aspect includes a route generation engine that determines and provides recommended route(s) to clients. Another aspect includes a forecast engine that predicts traffic conditions based on past traffic data. The forecasted data can be used to determine recommended routes. The system provides APIs for enabling sources and clients to provide and receive traffic data.